Karianakis, Nikolaos

10 publications

ICLR 2026 MARS - A Foundational mAP Auto-Regressor Qi Zhang, Suvam Bag, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu

WACV 2025 Click&Describe: Multimodal Grounding and Tracking for Aerial Objects Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok

NeurIPSW 2024 Click & Describe: Multimodal Grounding and Tracking for Aerial Objects Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok

ECCVW 2024 Online Learning via Memory: Retrieval-Augmented Detector Adaptation Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis

WACV 2022 SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen

CVPR 2020 HyperSTAR: Task-Aware Hyperparameters for Deep Networks Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

ECCV 2018 Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification Nikolaos Karianakis, Zicheng Liu, Yinpeng Chen, Stefano Soatto

CVPR 2016 An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability Nikolaos Karianakis, Jingming Dong, Stefano Soatto

CVPR 2015 Multi-View Feature Engineering and Learning Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto

ICLR 2015 Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures Stefano Soatto, Jingming Dong, Nikolaos Karianakis